The service will enable massive apps to be deployed with low latency

The company explained the addition to its autonomous database portfolio has been specifically designed for apps such as those that demand heavy UI personalisation, shopping carts, online fraud detection, gaming and advertising, thanks to its flexibility.

It uses simple APIs for developers to introduce into their apps to cut down the amount of manual manipulation they need to do in order to get the apps up and running. For example, instead of dealing with and managing servers, storage expansion, cluster deployments, software installation, or backup, they can instead focus on the output - ie., the applications themselves.

Oracle Autonomous NoSQL Database also supports Python, Node.JS and Java, as well as offering interoperability with standard relational and standard JSON data models, whether a business wants to deploy their apps in the cloud or on-premises.

Oracle's autonomous database was first introduced last October, with its automated cybersecurity the first product in the line. It now comprises the Autonomous Data Warehouse Cloud and an autonomous transaction processing service under the same brand name. IT also includes Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud and Oracle Autonomous Visual Builder Cloud - all launched in May.

“Embedding AI and machine learning in these cloud services will help organizations innovate in revolutionary new ways,” Amit Zavery, executive vice president of development at Oracle Cloud Platform said after the launch of Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud, and Oracle Autonomous Visual Builder Cloud. “These new cloud services are the latest in a series of steps from Oracle to incorporate industry-first autonomous capabilities that will enable customers to significantly reduce operational costs, increase productivity, and decrease risk.”